Results 211 to 220 of about 178,776 (288)

usfAD based effective unknown attack detection focused IDS framework. [PDF]

Sci Rep
Uddin MA, Aryal S, Bouadjenek MR, Al-Hawawreh M, Talukder MA.   +4 more
europepmc   +1 more source

In‐Depth Profiling Highlights the Effect of Efgartigimod on Peripheral Innate and Adaptive Immune Cells in Myasthenia Gravis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is an autoimmune disorder characterized by antibody‐mediated complement activation. Efgartigimod, a neonatal Fc receptor (FcRn) antagonist, is approved for treating generalized MG (gMG). However, its modulatory effects on upstream innate and adaptive immune cells remain largely unexplored.
Lei Jin, Liu Dong, Ying Wang, Dingxian He, Chong Yan, Jianying Xi, Haoqin Jiang, Yu Shi, Ming Guan, Chongbo Zhao, Jie Song, Sushan Luo   +11 more
wiley   +1 more source

QCAE-QOC-SVM: A hybrid quantum machine learning model for DoS and Fuzzy attack detection on autonomous vehicle CAN bus. [PDF]

MethodsX
R M, Ramesha SS, Mukhopadhyay A.
europepmc   +1 more source

Detecting Insect Pest Attacks [PDF]

Nature, 1932
openaire   +1 more source

Bayesian Estimation Improves Prediction of Outcomes After Epilepsy Surgery

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT We estimated the statistical power of studies predicting seizure freedom after epilepsy surgery. We extracted data from a Cochrane meta‐analysis. The median power across all studies was 14%. Studies with a median sample size or less (n ≤ 56) and a statistically significant result exaggerated the true effect size by a factor of 5.4, while the ...
Adam S. Dickey, Vineet Reddy, Ammar A. Rashied, Nigel P. Pedersen, Robert T. Krafty   +4 more
wiley   +1 more source

A multilayer deep autoencoder approach for cross layer IoT attack detection using deep learning algorithms. [PDF]

Sci Rep
Saranya K, Valarmathi A.
europepmc   +1 more source

Developmental, Neuroanatomical and Cellular Expression of Genes Causing Dystonia

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Dystonia is one of the most common movement disorders, with variants in multiple genes identified as causative. However, an understanding of which developmental stages, brain regions, and cell types are most relevant is crucial for developing relevant disease models and therapeutics.
Darren Cameron, Nicholas E. Clifton, Daniel Cabezas de la Fuente, Peter Holmans, Nicholas J. Bray, Kathryn J. Peall   +5 more
wiley   +1 more source

A Survey of Advanced Border Gateway Protocol Attack Detection Techniques. [PDF]

Sensors (Basel)
Scott BA, Johnstone MN, Szewczyk P.
europepmc   +1 more source

An Out‐of‐Place Etiology: Recognizing FMR1 Premutation in the Memory Clinic

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT The FMR1 gene premutation (55–200 CGG repeats) is usually associated with a wide range of symptoms and phenotypes within the Fragile X‐tremor/ataxia syndrome (FXTAS), but may also manifest as predominant or isolated cognitive decline. We describe three male patients referred for progressive cognitive impairment and behavioral changes. Standard
Guido Greco, Caterina Motta, Enrica Marchionni, Maria Rosaria D'Apice, Carlangelo Carrese, Giuseppe Novelli, Alessandro Martorana, Chiara Giuseppina Bonomi   +7 more
wiley   +1 more source

A novel approach for APT attack detection based on an advanced computing. [PDF]

Sci Rep
Xuan CD, Nguyen TT.
europepmc   +1 more source